Postdoc Researcher: Value of Information and Hybrid Modelling in Support of Intelligent Infrastructure for Efficient Diagnosis, Prognosis and Decision Making (1 year contract) R2320 in Zürich

ETH Zurich is one of the leading universities in the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.

In collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), and the University of Illinois Urbana-Champaign (UIUC), SEC is undertaking a research programme on "Future Resilient Systems (FRS)". The FRS addresses the challenges with critical infrastructure systems that provide essential services to modern societies, which is of particular importance to innovation-driven economies like Singapore and Switzerland. Within this framework, we are announcing the following job opening. 

In the proposed collaborative research programme between SEC and CNRS@CREATE, we want to explore innovative and high-risk methods for redefining the current paradigm in decision-support toward optimal management of infrastructure systems under consideration of uncertainties, while allying physics-based models, data-driven model and solution enrichment, data-assimilation and active learning. This collaboration will be articulated around the research activities under progress in the SEC “Future Resilient Systems” and in the CNRS@CREATE “DesCartes” research programmes.

To support learning, models based on the subjacent physics, at least partially known, will be incorporated in the assessment loo, with a particular focus on the assimilation of advanced model order reduction techniques, in both their intrusive and non-intrusive formulations.

The primary advisor for the SEC-based Postdoctoral position will be Prof. Eleni Chatzi (SEC-ETHZ), with Prof. Francisco Chinesta (SNRS) as co-supervisor. The hired researcher will work with the CNRS-based Postdoctoral position, under the primary supervision of Prof. F. Chinesta. The earliest starting date is April 1st, 2023. Please note that the employment will be at the Singapore-ETH Centre.

• You must hold a PhD or equivalent University level diploma in data science, computer science, information technology, civil/mechanical, industrial & operational research, electrical engineering, geomatics/geodesy, or a related field.
• Principal qualifications include strong programming experience, analytical and quantitative skills, experience with numerical analysis, particularly for structural engineering applications, data analysis and modelling, programming and ideally also high-performance computing and machine learning.
• You should be further experienced in sensor system development, sensor integration and operative data collection.
• A solid knowledge of written and spoken English is mandatory.
• We expect good interpersonal skills, the ability to thrive in a diverse, multidisciplinary environment, and the ability to present work at international conferences.

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